New Advances in AI Autonomous Driverless Self-Driving Cars

New Advances in AI Autonomous Driverless Self-Driving Cars PDF

Author: Lance Eliot

Publisher: Lbe Press Publishing

Published: 2017-12-22

Total Pages: 258

ISBN-13: 9780692048351

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Top expert Dr. Lance B. Eliot provides the latest new insights about AI Autonomous Vehicles (AV) that are emerging as driverless self-driving cars and are progressively appearing on our roadways and byways. Vital issues he addresses include present and future technological advances, societal readiness, business aspects, economic considerations, and other ramifications about how this disruptive innovation will transform the world. Referred to as the "AI Insider" and currently serving as the Executive Director of the Cybernetic Self-Driving Car Institute for Techbrium Inc., he provides a no-holds-barred analysis of how Artificial Intelligence and Machine Learning are both a strength and a potential weakness in the effort toward developing true SAE Level 5 self-driving cars.

Artificial Intelligence for Autonomous Vehicles

Artificial Intelligence for Autonomous Vehicles PDF

Author: Sathiyaraj Rajendran

Publisher: John Wiley & Sons

Published: 2024-02-27

Total Pages: 208

ISBN-13: 111984763X

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With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles. There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations are exclusively focused on non-traditional programming approaches and depend on machine learning techniques, which are part of AI. There are multiple issues that AI needs to resolve for us to achieve a reliable and safe driverless technology. The purpose of this book is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavors. The major contribution of this book is to provide a bundle of AI solutions for driverless technology that can offer a safe, clean, and more convenient riskless mode of transportation.

Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence

Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence PDF

Author: Lance B. Eliot

Publisher: Lbe Press Publishing

Published: 2017-12-29

Total Pages: 252

ISBN-13: 9780692051023

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Based on their systems expertise and their state-of-the-art research, the authors of this outstanding book explore practical and forward-thinking aspects about the emergence of driverless self-driving cars. Artificial Intelligence (AI) and Machine Learning are explored as a key to breakthroughs for self-driving car high-tech innovations. In addition, the authors cover the business, economic, and societal considerations about these autonomous vehicles. This duo has combined their key talents into a vital book packed with new insights and transformational ideas.

AI Self-Driving Cars Autonomy: Practical Advances In Artificial Intelligence And Machine Learning

AI Self-Driving Cars Autonomy: Practical Advances In Artificial Intelligence And Machine Learning PDF

Author: Lance Eliot

Publisher: R. R. Bowker

Published: 2020-01-08

Total Pages: 268

ISBN-13: 9781733249898

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A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the advent of AI self-driving driverless autonomous cars. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).

The Driver in the Driverless Car

The Driver in the Driverless Car PDF

Author: Vivek Wadhwa

Publisher: Berrett-Koehler Publishers

Published: 2017-04-03

Total Pages: 146

ISBN-13: 1626569738

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A computer beats the reigning human champion of Go, a game harder than chess. Another is composing classical music. Labs are creating life-forms from synthetic DNA. A doctor designs an artificial trachea, uses a 3D printer to produce it, and implants it and saves a child's life. Astonishing technological advances like these are arriving in increasing numbers. Scholar and entrepreneur Vivek Wadhwa uses this book to alert us to dozens of them and raise important questions about what they may mean for us. Breakthroughs such as personalized genomics, self-driving vehicles, drones, and artificial intelligence could make our lives healthier, safer, and easier. But the same technologies raise the specter of a frightening, alienating future: eugenics, a jobless economy, complete loss of privacy, and ever-worsening economic inequality. As Wadhwa puts it, our choices will determine if our future is Star Trek or Mad Max. Wadhwa offers us three questions to ask about every emerging technology: Does it have the potential to benefit everyone equally? What are its risks and rewards? And does it promote autonomy or dependence? Looking at a broad array of advances in this light, he emphasizes that the future is up to us to create—that even if our hands are not on the wheel, we will decide the driverless car's destination.

Autonomous Vehicles, Volume 1

Autonomous Vehicles, Volume 1 PDF

Author: Romil Rawat

Publisher: John Wiley & Sons

Published: 2022-11-30

Total Pages: 324

ISBN-13: 1119871964

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AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

AI Self-Driving Cars Accordance

AI Self-Driving Cars Accordance PDF

Author: Lance Eliot

Publisher:

Published: 2020-05-24

Total Pages: 230

ISBN-13: 9781734601664

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A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the advent of AI self-driving driverless autonomous cars. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).

Autonomous Driving

Autonomous Driving PDF

Author: Andreas Herrmann

Publisher: Emerald Group Publishing

Published: 2018-03-26

Total Pages: 464

ISBN-13: 1787148335

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The technology and engineering behind autonomous driving is advancing at pace. This book presents the latest technical advances and the economic, environmental and social impact driverless cars will have on individuals and the automotive industry.

The Cutting Edge of AI Autonomous Cars

The Cutting Edge of AI Autonomous Cars PDF

Author: Lance B. Eliot

Publisher: Lbe Press Publishing

Published: 2018-10-26

Total Pages: 276

ISBN-13: 9780578409641

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An insightful treatise by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the advent of AI Autonomous cars (also referred to as self-driving cars and driverless cars). Included too are essential advances about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).